## Code To Implement Linear Regression Algorithm in Python from scratch Using Numpy only.

Following is the code to implement Linear Regression Algorithm in Python from Scratch using Numpy only.   import numpy as

## Introduction to Linear Regression Algorithm

Linear regression one of the simple but very strong regression algorithm in Supervised Machine Learning. Regression is a process of

## A mathematical approach towards Gradient Descent Algorithm

Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function (commonly called as loss/cost functions

## Logistic regression algorithm from scratch In python(Using Numpy only)

Logistic Regression is simple and easy but one of the widely used binary classification algorithm in the field of machine

## Breast cancer prediction using Logistic Regression Algorithm

Logistic Regression is simple and easy but one of the widely used binary classification algorithm in the field of machine

## What is F1-score and what is it’s importance in Machine learning?

F1-Score or F-measure is an evaluation metric for a classification defined as harmonic mean of precision and recall. It is

## Most commonly used activation functions in Deep Learning

Activation functions are any functions that defines the output of a neuron. The activation function associated with each neurons in

## The Logistic Regression Algorithm-Detailed overview

What is Logistic Regression? Logistic Regression is one of the most widely used binary classification algorithm in the field of

## How to select machine learning algorithm for your problem?

Selecting a suitable machine learning algorithm for your problem can be a difficult task. If you have a lot time,

## Hyperparameters vs. Parameters

What are Hyperparameters? A hyperparameter is a entities of a learning algorithm, usually (but not always) having a finite numerical

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